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[docs] fix wandb url (#13094)
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@@ -3,7 +3,7 @@
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Using Weights & Biases with Tune
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================================
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`Weights & Biases <https://www.wandb.com/>`_ (Wandb) is a tool for experiment
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`Weights & Biases <https://www.wandb.ai/>`_ (Wandb) is a tool for experiment
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tracking, model optimizaton, and dataset versioning. It is very popular
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in the machine learning and data science community for its superb visualization
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tools.
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@@ -12,7 +12,7 @@ tools.
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:height: 80px
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:alt: Weights & Biases
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:align: center
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:target: https://www.wandb.com/
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:target: https://www.wandb.ai/
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Ray Tune currently offers two lightweight integrations for Weights & Biases.
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One is the :ref:`WandbLoggerCallback <tune-wandb-logger>`, which automatically logs
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@@ -168,7 +168,7 @@ You can see the :doc:`tutorial here </tune/tutorials/tune-mlflow>`.
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WandbLogger
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-----------
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Tune also provides a default logger for `Weights & Biases <https://www.wandb.com/>`_. You can install Wandb via ``pip install wandb``.
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Tune also provides a default logger for `Weights & Biases <https://www.wandb.ai/>`_. You can install Wandb via ``pip install wandb``.
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You can see the :doc:`tutorial here </tune/tutorials/tune-wandb>`
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@@ -85,8 +85,8 @@ Pytorch Lightning
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Wandb, MLFlow
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~~~~~~~~~~~~~
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- :ref:`Tutorial <tune-wandb>` for using `wandb <https://www.wandb.com/>`__ with Ray Tune
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- :doc:`/tune/examples/wandb_example`: Example for using `Weights and Biases <https://www.wandb.com/>`__ with Ray Tune.
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- :ref:`Tutorial <tune-wandb>` for using `wandb <https://www.wandb.ai/>`__ with Ray Tune
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- :doc:`/tune/examples/wandb_example`: Example for using `Weights and Biases <https://www.wandb.ai/>`__ with Ray Tune.
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- :doc:`/tune/examples/mlflow_example`: Example for using `MLFlow <https://github.com/mlflow/mlflow/>`__ with Ray Tune.
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- :doc:`/tune/examples/mlflow_ptl_example`: Example for using `MLFlow <https://github.com/mlflow/mlflow/>`__ and `Pytorch Lightning <https://github.com/PyTorchLightning/pytorch-lightning>`_ with Ray Tune.
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@@ -75,7 +75,7 @@ def _clean_log(obj: Any):
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def wandb_mixin(func: Callable):
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"""wandb_mixin
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Weights and biases (https://www.wandb.com/) is a tool for experiment
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Weights and biases (https://www.wandb.ai/) is a tool for experiment
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tracking, model optimization, and dataset versioning. This Ray Tune
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Trainable mixin helps initializing the Wandb API for use with the
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``Trainable`` class or with `@wandb_mixin` for the function API.
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@@ -109,7 +109,7 @@ def wandb_mixin(func: Callable):
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values.
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Please see here for all other valid configuration settings:
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https://docs.wandb.com/library/init
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https://docs.wandb.ai/library/init
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Example:
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@@ -225,7 +225,7 @@ class _WandbLoggingProcess(Process):
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class WandbLoggerCallback(LoggerCallback):
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"""WandbLoggerCallback
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Weights and biases (https://www.wandb.com/) is a tool for experiment
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Weights and biases (https://www.wandb.ai/) is a tool for experiment
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tracking, model optimization, and dataset versioning. This Ray Tune
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``LoggerCallback`` sends metrics to Wandb for automatic tracking and
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visualization.
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@@ -251,7 +251,7 @@ class WandbLoggerCallback(LoggerCallback):
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values.
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Please see here for all other valid configuration settings:
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https://docs.wandb.com/library/init
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https://docs.wandb.ai/library/init
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Example:
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@@ -382,7 +382,7 @@ class WandbLogger(Logger):
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This `Logger` class is deprecated. Use the `WandbLoggerCallback`
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callback instead.
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Weights and biases (https://www.wandb.com/) is a tool for experiment
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Weights and biases (https://www.wandb.ai/) is a tool for experiment
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tracking, model optimization, and dataset versioning. This Ray Tune
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``Logger`` sends metrics to Wandb for automatic tracking and
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visualization.
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@@ -415,7 +415,7 @@ class WandbLogger(Logger):
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values.
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Please see here for all other valid configuration settings:
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https://docs.wandb.com/library/init
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https://docs.wandb.ai/library/init
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Example:
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